AIMC Journal:
Neuroimage. Reports
Showing 1 to 10 of 14 articles
Harnessing machine learning for functional connectivity-based feature discovery in post-traumatic epilepsy.
Neuroimage. Reports
Aug 14, 2026
•Leakage-free nested CV-RFE identifies a reproducible connectivity signature that characterizes the PTE-diseased state in our cohort.•Data-driven feature selection is essential for classification performance, with only four stable functional connecti...
Leveraging pretrained vision transformers for classifying alcohol use disorder using raw resting-state EEG.
Neuroimage. Reports
Aug 1, 2026
Alcohol Use Disorder (AUD) is a prevalent neuropsychiatric condition affecting about 28 million adults in the USA, with few objective biomarkers to assist in its clinical diagnosis. In this study, we investigated the potential of deep learning to cla...
The underlying mechanisms of tDCS-Based cognitive enhancement in unpredictable task switching: A machine learning-based approach for EEG signal analysis.
Neuroimage. Reports
Jul 23, 2026
Transcranial direct current stimulation (tDCS) enhances cognitive abilities yet has highly inconsistent outcomes, highlighting the need to clarify its neurophysiological mechanisms. Herein, we integrated EEG with machine learning to assess 24 partici...
Classification of neurodevelopmental disorders and typical development using deep learning and a portable patch-type electroencephalography device.
Neuroimage. Reports
Jul 13, 2026
Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are common neurodevelopmental disorders (NDDs) in children and often co-occur (ASD + ADHD), complicating the diagnosis. The diagnostic process is lengthy and subjectiv...
Accelerated brain aging in Veterans with posttraumatic stress symptoms and mild traumatic brain injury.
Neuroimage. Reports
Jul 2, 2026
Exposure to trauma and mild traumatic brain injury (mTBI), which often co-occur and can both trigger acute and chronic pathophysiological processes, have been linked to brain changes indicative of accelerated neurological aging. However, few longitud...
Deep learning-based identification of causative genes in lissencephaly using 3D-MRI volumetric datasets.
Neuroimage. Reports
Jun 23, 2026
BACKGROUND: This paper reports a genetic identification task using 3D convolutional neural network (3D-CNN) models applied to a proprietary 3D magnetic resonance imaging (MRI) dataset of patients with lissencephaly. Lissencephaly is a neuronal migrat...
A longitudinal and explainable 2.5D deep learning framework for Alzheimer's disease progression using ADNI MRI.
Neuroimage. Reports
Apr 2, 2026
Early identification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI), is important for timely clinical assessment and disease management. Structural T1-weighted magnetic resonance imaging (MRI) captures macroscopi...
Fully automated volumetry of ventricular subregions on computed tomography using object detection and semantic segmentation.
Neuroimage. Reports
Feb 6, 2026
BACKGROUND: Our goal was to develop and validate machine learning models that are capable of fully automatic identification and segmentation of frontal, temporal, and posterior horns, the body of the lateral ventricle, the third and fourth ventricle,...
A scoping review of portable ultra-low-field MRI studies in patients with acquired brain injury: Past, present, and future.
Neuroimage. Reports
Feb 4, 2026
Acquired Brain Injury (ABI) refers to any post-birth damage to the brain, commonly resulting from traumatic events (traumatic brain injury) or non-traumatic events (such as stroke, brain disease, or infection). In Australia, ABI places a substantial ...
SHAP-based explainable machine learning analysis of reward-related neural connectivity to predict preadolescent irritability.
Neuroimage. Reports
Jan 22, 2026
Preadolescent irritability is a robust transdiagnostic neurodevelopmental predictor of later psychopathology, linked to altered reward processing-a common neurocognitive substrate across psychiatric disorders. However, its neurobiological mechanisms ...
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